<?xml version="1.0" encoding="UTF-8"?>
<!-- generator="FeedCreator 1.8" -->
<?xml-stylesheet href="http://kreegerresearch.com/wiki/lib/exe/css.php?s=feed" type="text/css"?>
<rdf:RDF
    xmlns="http://purl.org/rss/1.0/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
    xmlns:dc="http://purl.org/dc/elements/1.1/">
    <channel rdf:about="http://kreegerresearch.com/wiki/feed.php">
        <title>Kreeger Research matlab</title>
        <description></description>
        <link>http://kreegerresearch.com/wiki/</link>
        <image rdf:resource="http://kreegerresearch.com/wiki/lib/tpl/monobook/images/favicon.ico" />
       <dc:date>2026-05-02T04:52:45+0000</dc:date>
        <items>
            <rdf:Seq>
                <rdf:li rdf:resource="http://kreegerresearch.com/wiki/doku.php?id=matlab:freqplots&amp;rev=1488141063&amp;do=diff"/>
            </rdf:Seq>
        </items>
    </channel>
    <image rdf:about="http://kreegerresearch.com/wiki/lib/tpl/monobook/images/favicon.ico">
        <title>Kreeger Research</title>
        <link>http://kreegerresearch.com/wiki/</link>
        <url>http://kreegerresearch.com/wiki/lib/tpl/monobook/images/favicon.ico</url>
    </image>
    <item rdf:about="http://kreegerresearch.com/wiki/doku.php?id=matlab:freqplots&amp;rev=1488141063&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2017-02-26T20:31:03+0000</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>matlab:freqplots</title>
        <link>http://kreegerresearch.com/wiki/doku.php?id=matlab:freqplots&amp;rev=1488141063&amp;do=diff</link>
        <description>Frequency Plots with Matlab/Octave

When doing frequency analysis of signals its always important to remember to window the input data prior to performing a FFT. If the data is not windowed and the signal of interest does not fall into a single FFT bin (meaning it is continuous about the length of the FFT) then there will be noise across the entire bandwidth.
The code will normalize the largest spectral component to 0dB making it easy to compare relative strengths of signals for measurement of S…</description>
    </item>
</rdf:RDF>
